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Applied Ai Engineer Jobs in Springfield, MA (NOW HIRING)

Deloitte

AI Security Engineer Manager

Hartford, CT ยท On-site

Work you'll do You will bring strong engineering depth and applied AI knowledge, combined with expertise in cybersecurity principles, to design and deliver secure, scalable solutions. This role ...

Travelers

Software Engineer I (AI Driven)

Hartford, CT

$99K - $163K/yr

This role operates within an AI-driven team where the standard expectation is that AI capabilities are actively and continuously applied to improve engineering outcomes at every stage of the software ...

The Hartford

Director, Portfolio Lead

Hartford, CT ยท Hybrid

... Applied AI and Analytics (AIA) organizations and their respective portfolio priorities with the ... Mature a culture of continuous improvement and innovation, adopting OwnIT, Agile and DevOps ...

Varsity Tutors

Applied Mathematics Tutor

Northampton, MA ยท Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... engineering, physics, finance, and computational science applications. * Conceptual Teaching ...

Varsity Tutors

Applied Mathematics Tutor

Hartford, CT ยท Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... engineering, physics, finance, and computational science applications. * Conceptual Teaching ...

Accenture

Senior Agentic Identity Security Manager

Hartford, CT ยท On-site

$115K - $158K/yr

This role sits at the intersection of identity engineering and applied AI security. Although no two days at Accenture are the same, your duties as Identity & Access Management (I&AM) Security Manager ...

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Applied Ai Engineer information

What is the salary of applied AI engineer?

The salary of an applied AI engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those requiring specialized skills in machine learning, deep learning, or specific tools may offer higher compensation.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or AI engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

What are the key skills and qualifications needed to thrive as an Applied AI Engineer, and why are they important?

To thrive as an Applied AI Engineer, you need strong proficiency in programming (especially Python), machine learning algorithms, statistics, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (such as AWS or Azure), and knowledge of data management tools are typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex models into real-world solutions and collaborate across disciplines. These competencies ensure you can effectively develop, deploy, and maintain AI systems that drive business value.

What does an applied AI engineer do?

An applied AI engineer develops and implements artificial intelligence models and algorithms to solve real-world problems. They work with data, machine learning frameworks, and programming languages like Python or TensorFlow to create practical AI solutions for businesses or products.

What is the difference between Applied Ai Engineer vs Data Scientist?

AspectApplied Ai EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; experience with AI frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys AI models in production environmentsAnalyzes data to extract insights and build predictive models
Industry UsageUsed in tech, healthcare, finance for deploying AI solutionsUsed across industries for data analysis and modeling

Applied Ai Engineers focus on implementing and deploying AI models in real-world applications, while Data Scientists primarily analyze data to generate insights and build predictive models. Both roles require similar educational backgrounds but differ in their core responsibilities and work environments.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI engineer, research scientist, or executive roles, which offer compensation including salary, bonuses, and stock options that total around this amount. These roles often require advanced skills in machine learning, deep learning, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership in AI projects.

What are some common challenges Applied AI Engineers face when deploying AI models into production environments?

Applied AI Engineers often encounter challenges such as ensuring models perform consistently on real-world data, optimizing models for speed and scalability, and integrating AI solutions with existing systems. Managing data privacy, monitoring for model drift, and maintaining robust documentation are also key concerns. Collaboration with DevOps, data engineering, and product teams is essential to address these challenges effectively and deliver reliable AI-driven solutions.
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